AN INTEGRATED FUZZY ENTROPY AND DIRECTED NETWORK-BASED FRAMEWORK FOR EVALUATING DRONE CRITERIA

Ezgi Özer

doi:10.20290/estubtdb.1768065

EN TR

AN INTEGRATED FUZZY ENTROPY AND DIRECTED NETWORK-BASED FRAMEWORK FOR EVALUATING DRONE CRITERIA

Abstract

The efficient and rapid delivery of health services necessitates optimizing logistics processes, especially for emergencies and rural areas. In this context, drone technologies have come to the forefront in the distribution of medicines and medical supplies in recent years. However, when choosing between drone alternatives, not only technical features but also numerous criteria such as security, cost, operational capability, and environmental factors should be considered. This makes the decision-making process complex and multi-dimensional. In this study, to determine the most appropriate drone alternative to be used in the distribution of medicines in the health sector, the Entropy-based criteria weighting method, Directed Network analysis and Fuzzy Logic Multi-Criteria Decision Making (MCDM) approach were used in an integrated structure. To model uncertainties and differences in interpretation in expert opinions, alternatives were evaluated using Fuzzy Logic. The Entropy method contributed to the weighting process by objectively revealing the information densities of the criteria. Then, Directed Network analysis was applied to determine the interaction and structural priorities between the criteria. To examine the robustness of the proposed model, a sensitivity analysis was performed by varying the parameter that balances entropy-based and directed network. The findings, strong and weak interaction lines within the system, were visualized and the relationships between the criteria were examined in depth.

Keywords

Fuzzy Logic, Entropy, Directed Network, Drone Criteria Selection

AN INTEGRATED FUZZY ENTROPY AND DIRECTED NETWORK-BASED FRAMEWORK FOR EVALUATING DRONE CRITERIA

Abstract

The efficient and rapid delivery of health services necessitates optimizing logistics processes, especially for emergencies and rural areas. In this context, drone technologies have come to the forefront in the distribution of medicines and medical supplies in recent years. However, when choosing between drone alternatives, not only technical features but also numerous criteria such as security, cost, operational capability, and environmental factors should be considered. This makes the decision-making process complex and multi-dimensional. In this study, to determine the most appropriate drone alternative to be used in the distribution of medicines in the health sector, the Entropy-based criteria weighting method, Directed Network analysis and Fuzzy Logic Multi-Criteria Decision Making (MCDM) approach were used in an integrated structure. To model uncertainties and differences in interpretation in expert opinions, alternatives were evaluated using Fuzzy Logic. The Entropy method contributed to the weighting process by objectively revealing the information densities of the criteria. Then, Directed Network analysis was applied to determine the interaction and structural priorities between the criteria. To examine the robustness of the proposed model, a sensitivity analysis was performed by varying the parameter that balances entropy-based and directed network. The findings, strong and weak interaction lines within the system, were visualized and the relationships between the criteria were examined in depth.

Keywords

Fuzzy Logic, Entropy, Directed Network, Drone Criteria Selection

References

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Details

Primary Language

English

Subjects

Computational Statistics, Statistical Analysis, Statistical Data Science, Quantitative Decision Methods , Stochastic Analysis and Modelling, Applied Statistics, Mathematical Optimisation, Multiple Criteria Decision Making

Journal Section

Research Article

Authors

Ezgi Özer ^*
0000-0003-1567-2216
Türkiye

Publication Date

August 25, 2026

Submission Date

August 18, 2025

Acceptance Date

May 9, 2026

Published in Issue

Year 2026 Volume: 14 Number: 2

DOI

https://doi.org/10.20290/estubtdb.1768065

IZ

https://izlik.org/JA52NB52CX

APA

Özer, E. (2026). AN INTEGRATED FUZZY ENTROPY AND DIRECTED NETWORK-BASED FRAMEWORK FOR EVALUATING DRONE CRITERIA. Eskişehir Teknik Üniversitesi Bilim Ve Teknoloji Dergisi B - Teorik Bilimler, 14(2), 78-93. https://doi.org/10.20290/estubtdb.1768065

AMA

1.Özer E. AN INTEGRATED FUZZY ENTROPY AND DIRECTED NETWORK-BASED FRAMEWORK FOR EVALUATING DRONE CRITERIA. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler. 2026;14(2):78-93. doi:10.20290/estubtdb.1768065

Chicago

Özer, Ezgi. 2026. “AN INTEGRATED FUZZY ENTROPY AND DIRECTED NETWORK-BASED FRAMEWORK FOR EVALUATING DRONE CRITERIA”. Eskişehir Teknik Üniversitesi Bilim Ve Teknoloji Dergisi B - Teorik Bilimler 14 (2): 78-93. https://doi.org/10.20290/estubtdb.1768065.

EndNote

Özer E (August 1, 2026) AN INTEGRATED FUZZY ENTROPY AND DIRECTED NETWORK-BASED FRAMEWORK FOR EVALUATING DRONE CRITERIA. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler 14 2 78–93.

IEEE

[1]E. Özer, “AN INTEGRATED FUZZY ENTROPY AND DIRECTED NETWORK-BASED FRAMEWORK FOR EVALUATING DRONE CRITERIA”, Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler, vol. 14, no. 2, pp. 78–93, Aug. 2026, doi: 10.20290/estubtdb.1768065.

ISNAD

Özer, Ezgi. “AN INTEGRATED FUZZY ENTROPY AND DIRECTED NETWORK-BASED FRAMEWORK FOR EVALUATING DRONE CRITERIA”. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler 14/2 (August 1, 2026): 78-93. https://doi.org/10.20290/estubtdb.1768065.

JAMA

1.Özer E. AN INTEGRATED FUZZY ENTROPY AND DIRECTED NETWORK-BASED FRAMEWORK FOR EVALUATING DRONE CRITERIA. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler. 2026;14:78–93.

MLA

Özer, Ezgi. “AN INTEGRATED FUZZY ENTROPY AND DIRECTED NETWORK-BASED FRAMEWORK FOR EVALUATING DRONE CRITERIA”. Eskişehir Teknik Üniversitesi Bilim Ve Teknoloji Dergisi B - Teorik Bilimler, vol. 14, no. 2, Aug. 2026, pp. 78-93, doi:10.20290/estubtdb.1768065.

Vancouver

1.Ezgi Özer. AN INTEGRATED FUZZY ENTROPY AND DIRECTED NETWORK-BASED FRAMEWORK FOR EVALUATING DRONE CRITERIA. Eskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi B - Teorik Bilimler. 2026 Aug. 1;14(2):78-93. doi:10.20290/estubtdb.1768065

AN INTEGRATED FUZZY ENTROPY AND DIRECTED NETWORK-BASED FRAMEWORK FOR EVALUATING DRONE CRITERIA

Abstract

Keywords

AN INTEGRATED FUZZY ENTROPY AND DIRECTED NETWORK-BASED FRAMEWORK FOR EVALUATING DRONE CRITERIA

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

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